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library_name: transformers
tags:
- generated_from_trainer
model-index:
- name: calculator_model_test
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# calculator_model_test
This model is a fine-tuned version of [](https://huggingface.co/) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1433
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 0.001
- train_batch_size: 512
- eval_batch_size: 512
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 40
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 2.9812 | 1.0 | 6 | 2.2407 |
| 2.0270 | 2.0 | 12 | 1.7466 |
| 1.5714 | 3.0 | 18 | 1.2953 |
| 1.2001 | 4.0 | 24 | 1.0696 |
| 1.0133 | 5.0 | 30 | 0.9091 |
| 0.8661 | 6.0 | 36 | 0.7848 |
| 0.7555 | 7.0 | 42 | 0.6814 |
| 0.6796 | 8.0 | 48 | 0.6318 |
| 0.6473 | 9.0 | 54 | 0.6153 |
| 0.6041 | 10.0 | 60 | 0.5501 |
| 0.5619 | 11.0 | 66 | 0.5469 |
| 0.5457 | 12.0 | 72 | 0.5018 |
| 0.5004 | 13.0 | 78 | 0.4598 |
| 0.4727 | 14.0 | 84 | 0.4299 |
| 0.4530 | 15.0 | 90 | 0.4329 |
| 0.4326 | 16.0 | 96 | 0.4042 |
| 0.4063 | 17.0 | 102 | 0.3745 |
| 0.3781 | 18.0 | 108 | 0.3800 |
| 0.3919 | 19.0 | 114 | 0.3520 |
| 0.3600 | 20.0 | 120 | 0.3237 |
| 0.3449 | 21.0 | 126 | 0.2963 |
| 0.3199 | 22.0 | 132 | 0.3008 |
| 0.3220 | 23.0 | 138 | 0.2882 |
| 0.3037 | 24.0 | 144 | 0.2534 |
| 0.2746 | 25.0 | 150 | 0.2573 |
| 0.2700 | 26.0 | 156 | 0.2359 |
| 0.2573 | 27.0 | 162 | 0.2204 |
| 0.2392 | 28.0 | 168 | 0.2122 |
| 0.2339 | 29.0 | 174 | 0.2000 |
| 0.2208 | 30.0 | 180 | 0.1913 |
| 0.2159 | 31.0 | 186 | 0.1816 |
| 0.1982 | 32.0 | 192 | 0.1747 |
| 0.1967 | 33.0 | 198 | 0.1665 |
| 0.1868 | 34.0 | 204 | 0.1642 |
| 0.1804 | 35.0 | 210 | 0.1589 |
| 0.1797 | 36.0 | 216 | 0.1555 |
| 0.1731 | 37.0 | 222 | 0.1524 |
| 0.1698 | 38.0 | 228 | 0.1471 |
| 0.1679 | 39.0 | 234 | 0.1440 |
| 0.1667 | 40.0 | 240 | 0.1433 |
### Framework versions
- Transformers 5.0.0
- Pytorch 2.10.0+cu128
- Datasets 4.0.0
- Tokenizers 0.22.2
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